Lifecycle transcriptomics of field-droughted sorghum reveals rapid biotic and metabolic responses
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA527782 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We conducted a large-scale field experiment, imposing pre- and post-flowering drought stress on two genotypes of sorghum across a tightly-resolved time series, resulting in a data set of over 350 transcriptomes root and shoot tissue.
2019-11-13 | GSE128441 | GEO
Project description:Lifecycle transcriptomics of field-droughted sorghum reveals rapid biotic and metabolic responses
2020-04-29 | E-GEOD-128441 | ExpressionAtlas
Project description:Transcriptome analysis throughout the lifecycle of the helminth Schistosoma mansoni.
2009-12-31 | E-MEXP-2094 | biostudies-arrayexpress
Project description:Comparative transcriptome profiles of cotton (G. hirsutum L. cv. Bikaneri narma) during boll development stages (0, 2, 5 and 10 dpa) under bollworm infested biotic stress. Cotton is one of the most commercially important fibre crops in the world and used as a source for natural textile fibre and cottonseed oil. The biotic stress is one of the major constraints for crop production. Cotton bollworm (Helicoverpa armigera) is one the major insect pest in cotton and drastically damages the cotton boll. To decipher the molecular mechanisms involved in cotton boll/fibre cell development, transcriptome analysis has been carried out by comparing G. hirsutum L cv. Bikaneri narma cotton boll samples induced by biotic stress (bollworm infested) and that their respective control cotton bolls collected under field conditions. Cotton bolls were collected at fibre initiation (0, 2 dpa/days post anthesis) and elongation (5, 10 dpa) stages for both control and biotic stress condition and gene expression profiles were analyzed by Affymetrix cotton GeneChip Genome array.
2015-03-01 | GSE55511 | GEO
Project description:Dynamic alteration of the epitranscriptome exerts regulatory effects on the lifecycle of oncogenic viruses in vitro. However, little is known about these effects in vivo because of the general lack of suitable animal infection models of these viruses. Using a model of rapid-onset Marek’s disease lymphoma in chickens, we investigated changes in viral and host mRNA N6-methyladenosine (m6A) modification during Marek’s disease virus (MDV) infection in vivo. We found that the expression of major epitranscriptomic proteins varies among viral infection phases, reprograming both the viral and the host epitranscriptomes.Specifically, the METTL3/14 complex was suppressed during the lytic and reactivation phases of the MDV lifecycle, whereas its expression was increased during the latent phase and in MDV-induced tumors. METTL3/14 overexpression inhibits, whereas METTL3/14 knockdown enhances, MDV gene expression and replication. These findings reveal the dynamic features of the mRNA m6A modification program during viral replication in vivo, especially in relation to key pathways involved in tumorigenesis.
2023-07-19 | GSE208699 | GEO
Project description:affy_tour_2010_21 - affy_tour_2010_21 - The aim of this project is to assess the possibility of implementing transcriptomic studies on sunflower plants grown in field assays. Data obtained from plants under drought in the glasshouse have already obtained. We intend to use these results as a template and see if the field offers the possibility of carrying these studies. In order to do so, treatment-effect as well as intra and inter-plot variability will be assessed.-Plants were grown in the field. The assay was arranged in plots with one genotype per plot. The assay was divided in two identically seized parts, containing the same number of plots. Starting from the capitule, flower # -3 was harvested in every plant. In some cases, several plants from the same plot were harvested. In other, plants from different plots were harvested. We expect that this sampling will allow us to assess intra- as well as inter-plot variability in the analysis of drought-driven gene expression modulation. 24 arrays - SUNFLOWER; treated vs untreated comparison
2012-09-01 | E-GEOD-36304 | biostudies-arrayexpress
Project description:Gene expression was measured in different tissues throughout the lifecycle of the Nicotiana tabacum plant to generate the Tobacco Expression Atlas (TobEA).
2009-12-05 | E-MTAB-176 | biostudies-arrayexpress
Project description:affy_tour_2010_21 - affy_tour_2010_21 - The aim of this project is to assess the possibility of implementing transcriptomic studies on sunflower plants grown in field assays. Data obtained from plants under drought in the glasshouse have already obtained. We intend to use these results as a template and see if the field offers the possibility of carrying these studies. In order to do so, treatment-effect as well as intra and inter-plot variability will be assessed.-Plants were grown in the field. The assay was arranged in plots with one genotype per plot. The assay was divided in two identically seized parts, containing the same number of plots. Starting from the capitule, flower # -3 was harvested in every plant. In some cases, several plants from the same plot were harvested. In other, plants from different plots were harvested. We expect that this sampling will allow us to assess intra- as well as inter-plot variability in the analysis of drought-driven gene expression modulation.
2012-09-01 | GSE36304 | GEO
Project description:Field pathogenomics detects rapid global spread of recent emergent European lineages of wheat yellow rust
| PRJEB15280 | ENA
Project description:Comparative transcriptome profiles of cotton (G. hirsutum L. cv. Bikaneri narma) during boll development stages (0, 2, 5 and 10 dpa) under bollworm infested biotic stress. Cotton is one of the most commercially important fibre crops in the world and used as a source for natural textile fibre and cottonseed oil. The biotic stress is one of the major constraints for crop production. Cotton bollworm (Helicoverpa armigera) is one the major insect pest in cotton and drastically damages the cotton boll. To decipher the molecular mechanisms involved in cotton boll/fibre cell development, transcriptome analysis has been carried out by comparing G. hirsutum L cv. Bikaneri narma cotton boll samples induced by biotic stress (bollworm infested) and that their respective control cotton bolls collected under field conditions. Cotton bolls were collected at fibre initiation (0, 2 dpa/days post anthesis) and elongation (5, 10 dpa) stages for both control and biotic stress condition and gene expression profiles were analyzed by Affymetrix cotton GeneChip Genome array. Cotton plants (G. hirsutum L. cv. Bikaneri narma) were grown under field condition. Helicoverpa armigera (cotton bollworm) second instar larvae was released at the time of flower opening and covered with polythene bag to prevent insect escape and tagged. The infested flowers were collected after 8 hrs infestations and labeled as 0 dpa. Likewise after two and five dayM-bM-^@M-^Ys infestation the bolls were collected and labelled as 2 and 5 dpa, respectively. After five days the insect was removed from bolls and left the bolls for up to 10 days and collected then labeled as 10 dpa. Meanwhile respective control samples also tagged and collected. Total RNA was isolated from control (WT) and biotic stress (bollworm infested) induced samples collected at 0, 2, 5 and 10 dpa boll development stages using SpectrumTM Plant Total RNA kit (Sigma, USA) according to the manufacturerM-bM-^@M-^Ys protocol. Affymetrix cotton GeneChip Genome array (Affymetrix, USA) having 23,977 probe sets representing 21,854 cotton transcripts was used for transcriptome analysis. Three biological replicates were maintained to test the reproducibility and quality of the chip hybridization. cDNA labeling, array hybridization, staining and washing procedures were carried out as described in the Affymetrix protocols. CEL files having estimated probe intensity values were analyzed with GeneSpring GX-11.5 software (Agilent Technologies, USA) to get differentially expressed transcripts. The Robust Multiarray Average (RMA) algorithm was used for the back ground correction, quantile normalization and median polished probe set summarization to generate single expression value for each probe set. Normalized expression values were log2 transformed and differential expression analysis was performed using unpaired t-test. The p-values were corrected by applying the false discovery rate (FDR) correction (Benjamini and Hochberg, 2000).
2015-03-01 | E-GEOD-55511 | biostudies-arrayexpress